TITLE:
An Optimal Dynamic Generation Scheduling for a Wind-Thermal Power System
AUTHORS:
Xingyu Li, Dongmei Zhao
KEYWORDS:
Generation Scheduling; Dynamic Optimization; Wind Power; Particle Swarm Optimization
JOURNAL NAME:
Energy and Power Engineering,
Vol.5 No.4B,
November
12,
2013
ABSTRACT:
In this paper, a dynamic generation scheduling model is formulated,
aiming at minimizing the costs of power generation and taking into account the
constraints of thermal power units and spinning reserve in wind power
integrated systems. A dynamic solving method blended with particle swarm
optimization algorithm is proposed. In this method, the solution space of the
states of unit commitment is created and will be updated when the status of
unit commitment changes in a period to meet the spinning reserve demand. The
thermal unit operation constrains are inspected in adjacent time intervals to
ensure all the states in the solution space effective. The particle swarm
algorithm is applied in the procedure to optimize the load distribution of each
unit commitment state. A case study in a simulation system is finally given to
verify the feasibility and effectiveness of this dynamic optimization algorithm.